Triple

T6718572
Position Surface form Disambiguated ID Type / Status
Subject Ciudad de Victoria E153335 entity
Predicate locatedIn P40 FINISHED
Object Bulacan E87267 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bulacan | Statement: [Ciudad de Victoria, locatedIn, Bulacan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulacan
Context triple: [Ciudad de Victoria, locatedIn, Bulacan]
  • A. Bulacan chosen
    Bulacan is a province in the Central Luzon region of the Philippines known for its historical significance, cultural heritage, and proximity to Metro Manila.
  • B. Pampanga
    Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
  • C. Nueva Vizcaya
    Nueva Vizcaya was a vast province of New Spain in northern Mexico that once encompassed areas now forming several modern states, including Durango.
  • D. Nueva Vizcaya
    Nueva Vizcaya is a landlocked province in the northern Philippines known for its mountainous terrain, agricultural economy, and ethnically diverse population.
  • E. Quezon Province
    Quezon Province is a coastal province in the Calabarzon region of Luzon in the Philippines, known for its coconut plantations, heritage towns, and access to the Pacific Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d135d27c819088c45839ad0e7bab completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4f308048190a5c42022e3f9e855 completed March 28, 2026, 2:25 p.m.
Created at: March 27, 2026, 2:07 p.m.